We seek to understand and identify fundamental mechanisms that control chemical and photo-thermo-mechanical (in)stability of polymers, and to utilize this understanding to achieve the twin goals of resilience and recyclability/reprocessability. Data from depolymerization experiments will continuously feed into machine learning engines that will make recommendations for the next experiments (e.g., via "active" learning and "inverse" design schemes).
Georgia Institute of Technology
The primary objective of this integrated research program is to understand how insulators behave when exposed to high electric fields, and to design materials that are tolerant to enormous electric fields for application in high voltage, high energy density capacitor technologies. We seek to achieve this objective through state-of-the-art “scale-bridging” computations, synthesis, processing, and electrical characterization, and through the creation of a relational database.
|Rampi Ramprasad (PI)||Georgia Institute of Technology|
|Yang Cao||University of Connecticut|
|Gregory Sotzing||University of Connecticut|
|Mukerrem Cakmak||Purdue University|
|Priya Vashishta||University of Southern California|
|Mike Fayer||Stanford University|